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regression

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Showing 2351–2400 of 9424 papers

TitleStatusHype
An Over-parameterized Exponential Regression—0
Local Interpretability of Random Forests for Multi-Target RegressionCode0
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task—0
Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models—0
Solving Regularized Exp, Cosh and Sinh Regression Problems—0
Kernel interpolation generalizes poorly—0
Thread Counting in Plain Weave for Old Paintings Using Semi-Supervised Regression Deep Learning ModelsCode0
Learning Rate Schedules in the Presence of Distribution ShiftCode0
Closed-Loop Koopman Operator ApproximationCode1
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning—0
Intersection over Union with smoothing for bounding box regressionCode0
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional RegressionsCode1
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels—0
CRRS: Concentric Rectangles Regression Strategy for Multi-point Representation on Fisheye Images—0
The Exact Sample Complexity Gain from Invariances for Kernel Regression—0
Feature Space Sketching for Logistic Regression—0
Particle Mean Field Variational BayesCode0
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning PuzzleCode1
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure—0
Physics Symbolic Learner for Discovering Ground-Motion Models Via NGA-West2 Database—0
Sensorless Adaptive Vibration Suppression in Two-Mass Systems via Joint Estimation of Controller Parameters and System States—0
Logistic Regression Equivalence: A Framework for Comparing Logistic Regression Models Across Populations—0
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesCode1
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
SiamTHN: Siamese Target Highlight Network for Visual Tracking—0
Large-Scale Education Reform in General Equilibrium: Regression Discontinuity Evidence from India: CommentCode0
Using Forests in Multivariate Regression Discontinuity DesignsCode0
Anchor Free remote sensing detector based on solving discrete polar coordinate equation—0
Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer—0
Machine Learning Techniques for Estimating Soil Moisture from Mobile Captured Images—0
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading—0
COVRECON: Combining Genome-scale Metabolic Network Reconstruction and Data-driven Inverse Modeling to Reveal Changes in Metabolic Interaction Networks—0
Counterfactually Fair Regression with Double Machine Learning—0
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
Deep trip generation with graph neural networks for bike sharing system expansion—0
How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function -- Part II: the Multi-D Case of Two Layers with Random First Layer—0
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure—0
Multi-Semantic Interactive Learning for Object Detection—0
The Challenge of Differentially Private Screening Rules—0
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations—0
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks—0
Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller—0
Neural Refinement for Absolute Pose Regression with Feature SynthesisCode1
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting—0
cito: An R package for training neural networks using torchCode0
Machine learning based biomedical image processing for echocardiographic images—0
A Dual Branch Network for Emotional Reaction Intensity Estimation—0
Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression—0
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified